CN111401686B - Method and device for monitoring dust and dirt conditions of air cooling radiating fins - Google Patents
Method and device for monitoring dust and dirt conditions of air cooling radiating fins Download PDFInfo
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Abstract
The invention provides a method and a device for monitoring dust and dirt conditions of an air cooling radiating fin, wherein the method comprises the following steps: acquiring historical operation data, historical working condition data, real-time operation data and real-time working condition data of the air cooling radiating fins; determining a historical relation curve of cleaning factors and time of the air cooling radiating fins under different working conditions according to the historical operation data and the historical working condition data; determining a real-time cleaning factor curve of the air cooling radiating fin according to the real-time operation data; and determining the dust and dirt condition of the current air cooling radiating fin according to the real-time operation data, the real-time cleaning factor curve and the historical relation curve of the cleaning factors under different working conditions and time. According to the invention, the dust and dirt condition of the current air cooling radiating fin is determined according to the real-time operation data, the real-time cleaning factor curve and the historical relation curve of the cleaning factors and time under different working conditions, and a relevant basis is provided for flushing the direct air cooling radiating fin.
Description
Technical Field
The invention relates to an air cooling heat dissipation technology, in particular to a method and a device for monitoring dust and dirt conditions of an air cooling heat dissipation fin.
Background
With the gradual enhancement of national energy conservation and emission reduction and environmental protection policies, air cooling units are widely adopted to replace traditional wet cooling units for saving water and thermal power units, and at present, direct air cooling is a mode mainly adopted by thermal power units.
The direct air cooling radiating fins are large in area and compact in structure, dust, catkin and other substances are easy to deposit, the heat resistance of the direct air cooling radiating fins is increased, the overall heat exchange efficiency is influenced, the problems of unit backpressure increase, air cooling fan power consumption increase and the like are caused, and especially, the unit backpressure increase is a main factor for reducing the load carrying capacity of a unit assembly during high load in summer, and the stability of a power grid is directly influenced. Therefore, the direct air-cooled heat dissipation fins need to be washed periodically, and in the prior art, the direct air-cooled heat dissipation fins are washed periodically mainly according to experience.
On one hand, the regular flushing of the direct air cooling radiating fins has the phenomena of untimely flushing and out-of-place flushing, which results in higher back pressure of the unit and larger power consumption rate of the air cooling fan, and on the other hand, the regular flushing has the phenomenon of excessive flushing, which results in wasting a large amount of water sources.
Disclosure of Invention
The embodiment of the invention provides a basis for determining the dust and dirt degree of a direct air-cooling radiating fin so as to be capable of realizing related works such as air-cooling flushing and the like, and provides a dust and dirt condition monitoring method of the air-cooling radiating fin, which comprises the following steps:
acquiring historical operation data, historical working condition data, real-time operation data and real-time working condition data of the air cooling radiating fins;
determining a historical relation curve of cleaning factors and time of the air cooling radiating fins under different working conditions according to the historical operation data and the historical working condition data;
determining a real-time cleaning factor curve of the air cooling radiating fin according to the real-time operation data;
and determining the dust and dirt condition of the current air cooling radiating fin according to the real-time cleaning factor curve and the historical relation curve of the cleaning factors and time under different working conditions.
In the embodiment of the present invention, the operation data includes: the exhaust flow of the concurrent heat exchange unit, the pressure of the condensation jellyfish tube at two sides of the concurrent heat exchange unit and the temperature of the pressure finned tube of the steam header tube;
the working condition data comprise: unit load, ambient temperature, ambient wind speed, ambient wind direction, and fan speed.
In the embodiment of the invention, the method comprises the following steps: determining cleaning factors according to the operation data respectively; the cleaning factors include: historical cleaning factors and real-time cleaning factors; the determining the cleaning factors according to the operation data respectively comprises the following steps:
determining heat exchange coefficients of the downstream heat exchange units according to the exhaust flow of the downstream heat exchange units, the pressure of condensation jellyfish tubes at two sides of the downstream heat exchange units and the temperature of a steam header pressure finned tube;
determining dirt heat resistance of each concurrent heat exchange unit according to the heat exchange coefficient of each concurrent heat exchange unit;
and determining the cleaning factors of the concurrent heat exchange units according to the dirt thermal resistance of the concurrent heat exchange units and the theoretical heat transfer coefficient obtained in advance.
In the embodiment of the invention, the determining the history relation curve of the cleaning factors and the time of the air cooling fin under different working conditions according to the history operation data and the history working condition data comprises the following steps:
sequencing the working condition data according to time sequence and dividing the historical working condition data according to preset segmentation intervals;
and determining a history relation curve of the cleaning factors and time under different working conditions according to the divided history working condition data and the determined history cleaning factors.
Meanwhile, the invention also provides a dust and dirt condition monitoring device of the air cooling radiating fin, which comprises:
the data acquisition module is used for acquiring historical operation data, historical working condition data, real-time operation data and real-time working condition data of the air cooling radiating fins;
the historical data processing module is used for determining a historical relation curve of cleaning factors and time of the air cooling fins under different working conditions according to the historical operation data and the historical working condition data;
the real-time data processing module is used for determining a real-time cleaning factor curve of the air cooling radiating fin according to the real-time operation data;
and the dust and dirt condition monitoring module is used for determining the dust and dirt condition of the current air cooling radiating fin according to the real-time cleaning factor curve and the historical relation curve of the cleaning factors under different working conditions and time.
In an embodiment of the present invention, the apparatus further includes: the cleaning factor determining module is used for determining the cleaning factors according to the operation data respectively; the cleaning factors include: historical cleaning factors and real-time cleaning factors;
the cleaning factor determining module comprises:
the heat exchange coefficient determining unit is used for determining the heat exchange coefficient of each concurrent heat exchange unit according to the exhaust flow of the concurrent heat exchange unit, the pressure of the condensation jellyfish tube at two sides of the concurrent heat exchange unit and the temperature of the pressure finned tube of the steam header;
the dirt heat resistance determining unit is used for determining dirt heat resistance of each concurrent heat exchange unit according to the heat exchange coefficient of each concurrent heat exchange unit;
and the cleaning factor determining unit is used for determining the cleaning factors of the downstream heat exchange units according to the dirt thermal resistance of the downstream heat exchange units and the theoretical heat transfer coefficient obtained in advance.
In an embodiment of the present invention, the history data processing module includes:
the dividing unit is used for sorting the working condition data according to time sequence and dividing the history working condition data according to preset cutting intervals;
the working condition curve determining unit is used for determining a history relation curve of the cleaning factors and time under different working conditions according to the divided history working condition data and the determined history cleaning factors.
The invention also provides a computer device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the method.
Meanwhile, the invention also provides a computer readable storage medium which stores a computer program for executing the method.
According to the method and the device for monitoring the dust and dirt conditions of the air cooling radiating fins, the dust and dirt conditions of the current air cooling radiating fins are determined according to the real-time operation data, the real-time cleaning factor curve and the historical relation curve of the cleaning factors and time under different working conditions, the problem that in the prior art, the direct air cooling radiating fins are not washed by relevant basis, washing work can only be carried out according to daily experience is solved, the problem that the dirt degree of the air cooling radiating fins cannot be judged due to the change of external conditions such as climate environment and unit load, and the development work of the air cooling radiating fins cannot be guided, so that the problems of untimely washing and excessive washing exist, and an optimal operation mode cannot be realized. After the direct air cooling radiating fin flushing model is adopted, the pollution degree of the air cooling radiating fins and the back pressure of the unit after the flushing can be judged, so that the air cooling radiating fins can be prejudged and flushed in advance, and the air cooling condenser is under the optimal operation condition. The scheme method of the invention plays the advantages of big data based on the historical operation data of the unit, calculates the heat exchange coefficient through heat exchange quantity balance so as to define the cleaning factor to monitor the ash and dirt condition of the heat exchange surface of the finned tube, and avoids the defect that a plurality of parameters are difficult to measure in the traditional calculation. The dust and dirt condition of the heating surface of the finned tube at the moment is judged according to the real-time absolute value of the curve and the rising trend of the historical curve by monitoring the cleaning factor in real time, so that a relevant basis is provided for flushing work, and the method is more suitable for practical engineering application.
The foregoing and other objects, features and advantages of the invention will be apparent from the following more particular description of preferred embodiments, as illustrated in the accompanying drawings.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for monitoring dust and dirt conditions of an air cooling radiating fin;
FIG. 2 is a flow chart of an embodiment of the present invention;
FIG. 3 is a flow chart of an embodiment of the present invention;
FIG. 4 is a schematic diagram of an embodiment of the present invention;
FIG. 5 is a block diagram of an air-cooled heat sink fin dust condition monitoring device disclosed in an embodiment of the present invention;
FIG. 6 is a block diagram of an embodiment of the present invention
Fig. 7 is a schematic diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, a flowchart of a method for monitoring dust and dirt conditions of an air cooling fin provided by the invention includes:
step S101, acquiring historical operation data, historical working condition data, real-time operation data and real-time working condition data of the air cooling radiating fins;
step S102, determining a history relation curve of cleaning factors and time of the air cooling radiating fins under different working conditions according to the history operation data and the history working condition data;
step S103, determining a real-time cleaning factor curve of the air cooling radiating fin according to the real-time operation data;
step S104, determining the dust and dirt condition of the current air cooling radiating fin according to the real-time operation data, the real-time cleaning factor curve and the history relation curve of the cleaning factors under different working conditions and time.
In the embodiment of the invention, the operation data comprises: the exhaust flow of the concurrent heat exchange unit, the pressure of the condensation jellyfish tube at two sides of the concurrent heat exchange unit and the temperature of the pressure finned tube of the steam header tube;
the working condition data comprise: unit load, ambient temperature, ambient wind speed, ambient wind direction, and fan speed.
The method of the invention is based on the historical operation data of the air cooling radiating fin unit, plays the advantage of big data, monitors the ash and dirt condition of the heat exchange surface of the fin tube by the cleaning factors, avoids the defect that a plurality of parameters are difficult to measure in traditional calculation, and judges the ash and dirt condition of the heating surface of the fin tube at the moment according to the real-time absolute value of the curve and the rising trend of the historical curve by monitoring the cleaning factors in real time, thereby guiding related personnel to take related measures such as advanced flushing and the like, and being more suitable for practical engineering application.
In the embodiment of the present invention, the cleaning factors are determined according to the operation data, and the cleaning factors in the embodiment include: historical cleaning factors and real-time cleaning factors;
wherein, as shown in fig. 2, the cleaning factors are respectively determined according to the operation data, further comprising:
step S201, determining heat exchange coefficients of all downstream heat exchange units according to exhaust flow of the downstream heat exchange units, pressure of condensation jellyfish tubes at two sides of the downstream heat exchange units and temperature of finned tubes of pressure of steam header tubes;
step S202, determining dirt heat resistance of each concurrent heat exchange unit according to heat exchange coefficients of each concurrent heat exchange unit;
step S203, determining the cleaning factors of the downstream heat exchange units according to the dirt thermal resistance of the downstream heat exchange units and the theoretical heat transfer coefficient acquired in advance.
In the embodiment of the invention, determining the history relation curve of the cleaning factors and time of the air cooling radiating fin under different working conditions according to the history operation data and the history working condition data comprises the following steps:
sequencing the working condition data according to time sequence and dividing the historical working condition data according to preset segmentation intervals;
and determining a history relation curve of the cleaning factors and time under different working conditions according to the divided history working condition data and the determined history cleaning factors.
The scheme of the invention plays the advantages of big data based on historical operation data of the unit, calculates the heat exchange coefficient through heat exchange quantity balance so as to determine the cleaning factor to monitor the ash and dirt condition of the heat exchange surface of the finned tube, and avoids the defect that a plurality of parameters are difficult to measure in the prior art.
In the prior art, the monitoring method for the dust and dirt state of the finned tube of the air-cooled condenser is relatively lacking, and only the direct calculation of the surface heat exchange coefficient or the monitoring of the ventilation quantity of fans at different times are adopted as the monitoring means. For the method for directly calculating the surface heat exchange coefficient, the acquisition difficulty of calculating a plurality of state parameters of the surface dirt of the heat exchanger is great, the parameters cannot be directly measured, and the parameters deviate from the design values along with the actual running change, so that the direct acquisition of the state parameters of the surface dirt of the heat exchanger is not feasible. The method for monitoring the ventilation quantity of the fans at different moments is too simplified, the influence of the cluster effect between the ambient wind and the fans on the flow of the fans is not considered, and under the condition that the pipeline characteristics are unchanged, the flow of the fans with the same frequency is consistent, so that the cleaning condition of the heat exchange surface of the finned tube cannot be effectively represented.
Because of the lack of effective finned tube heat exchange surface ash and dirt condition monitoring means, the power plant in the prior art generally adopts periodic flushing, the finned tube of the whole air cooling island is flushed for a long time period, and the water consumption is large. The regular flushing has the phenomena of untimely flushing and out-of-place flushing, which results in higher back pressure of the unit and larger power consumption rate of the air cooling fan.
In order to solve the above problems, the embodiment of the invention provides a method for monitoring the dust and dirt state of a fin tube of a direct air-cooled condenser, which comprises the following steps:
(1) And collecting historical data of the measuring points. In this embodiment, the historical data of the time span required by each measuring point is directly collected from an SIS (real-time monitoring strand management system) data source of the unit, where in this embodiment, the collection interval of the historical data is 1min, and the collected data includes data such as load, exhaust flow, ambient temperature, ambient wind speed, ambient wind direction, fan rotation speed, pressure of each steam header, pressure of each a/B side condensation header, and temperature of the finned tube. The collected data is arranged in time sequence, wherein the time span and the sampling interval of the data can be customized.
(2) And (5) preprocessing data. During the data acquisition process, due to the existence of sensor faults or signal interruption, abnormal values can exist in the operation data; in addition, due to certain delay of various data in the power plant, the situation that the various data cannot be accurately corresponding may occur. Therefore, in this embodiment, data preprocessing is performed before data analysis is performed. In this embodiment, the data preprocessing performed on the collected data includes:
(2.1) outliers are eliminated. For some abnormal values possibly existing in the data, for example, the numerical value exceeds the upper limit and the lower limit of normal operation and the numerical value remains unchanged for a period of time, the abnormal data needs to be removed, and the reliability of the result is further ensured.
(2.2) homogenization of the data. Aiming at the situation that data can not be accurately corresponding, the problem can be effectively solved by carrying out time homogenization treatment on the data for a certain time, for example, 30min accumulation is carried out on each item of data.
(3) And (5) working condition dividing and selecting.
In an embodiment of the present invention, in order to further enable the heat exchange coefficient to more accurately reflect the ash and dirt state of the heat exchange surface of the fin tube, relevant conditions need to be defined to avoid the influence of other parameters.
In one embodiment of the invention, the load in the collected working condition data is segmented according to 10MW, and a working condition close to full load is selected; the temperature is cut according to 1 ℃, and the temperature working condition with larger influence caused by ash in the heated area in summer can be selected; selecting a section with highest frequency from the ambient wind speed and the wind direction to obtain more data quantity; the fan rotating speed is selected to be set, and the limitation of the fan rotating speed and the ambient wind speed and the wind direction is used for ensuring the consistency of the fan flow.
Firstly, working conditions refer to working conditions of the power equipment under certain conditions, namely, one working condition corresponds to any moment, and parameters of each working condition are not completely consistent.
The working condition interval division is performed according to different intervals of certain n parameters, and the following two examples are briefly described:
if the working condition parameters include load, ambient temperature and ambient wind speed, and the load interval is 0-600, and the working condition interval is divided by the load interval 100, dividing all working conditions into 6 intervals, as shown in table 1:
TABLE 1
| Working conditions of 0-100 load | Interval 1 |
| Operating conditions of load of 100-200 | Interval 2 |
| Working conditions of 200-300 load | Interval 3 |
| Operating mode of load at 300-400 | Interval 4 |
| Operating conditions of load 400-500 | Interval 5 |
| Operating conditions of 500-600 load | Interval 6 |
If the working condition parameters comprise load, ambient temperature and ambient wind speed, the load interval is 0-600, the ambient temperature is 0-6, and the working condition interval is divided by the load interval 100 and the ambient temperature interval 1, then all working conditions are divided into 36 intervals, as shown in table 2:
TABLE 2
In the embodiment of the invention, the working conditions of multiple parameters are divided, and the interference caused by different parameters is mainly limited, because the cleaning factors are compared in the interval with smaller fluctuation of each parameter after the division. The second is that a plurality of working condition intervals exist after the division, in the specific implementation, only one most representative interval can be selected, namely after the historical data is divided, a section with sufficient data quantity after the division is selected for calculating the cleaning factor, for example, if the direct air-cooling condenser only carries out one-time large cleaning in one year and is generally in summer, only a high-temperature interval can be considered when the temperature is divided in one embodiment of the invention, namely, only a summer high-temperature area is considered when the working condition is divided, the working condition under the low temperature in winter is not considered, and the condition that the low-temperature working condition in winter is not suitable for the working condition in summer is avoided. That is, the monitoring of the dust and dirt is generally important in summer, because the dust and dirt mainly affects the heat exchange effect of the condenser, the temperature is high in summer, and even if the steam in the pipe with the maximum rotation speed is not reduced to the ideal temperature, the dust and dirt affects the frost on snow; in winter, the temperature in the pipe can be easily reduced to an ideal temperature, namely, an ideal back pressure state is achieved, and the back pressure is too low and is not possible, so that dust is generally not considered and related flushing is not carried out.
(4) And calculating the real-time heat exchange coefficient. The conversion of heat exchange coefficients is performed by collected data of exhaust flow, ambient temperature, steam header pressure of each row, condensation header pressure of each row A/B side and temperature of each unit fin tube, and the following is described by taking a downstream heat exchange unit of a certain row as an example:
(4.1) calculating the flow rate passing through the concurrent heat exchange unit.
Assuming that the low-pressure cylinder exhaust pipes are respectively supplied to N rows of steam master pipes, each row is provided with M concurrent heat exchange units, the flow of the fluid is equally distributed when the fluid enters each unit, and the partial pressure of non-condensable gas is ignored. Under the condition that the impedance of the A/B side pipeline of each heat exchange unit is fixed, calculating the flow of the A/B side concurrent heat exchange unit of each row by the exhaust flow, the pressure of the steam header of each row and the pressure of the condensation header of each row:
wherein: s is the impedance of a pipeline at one side of the heat exchange unit; d is the exhaust flow; p is the pressure of the steam main pipe of the row; p (P) A And P B For the A/B side of the column, the pressure of the condensation jellyfish tube, D A Is the flow of the A-side concurrent heat exchange unit, D B Is the flow of the B-side concurrent heat exchange unit.
(4.2) calculating the heat exchange quantity of the steam side of the concurrent unit. The heat exchange quantity of the steam side is mainly the vaporization latent heat, and the heat exchange quantity of the A/B side forward flow unit is calculated:
Q A ＝D A (h n -h A,i )
Q B ＝D B (h n -h B,i )
wherein: h is a n The exhaust enthalpy of the row, namely the corresponding saturated gas enthalpy under the pressure of the steam header of the row; h is a A,i And h B,i And (5) the saturated water enthalpy corresponding to the fin tube temperature of the heat exchange unit on the side A/B of the ith heat exchange unit in the column. Q (Q) A Heat exchange quantity Q of downstream unit A side downstream unit B And the heat exchange amount of the downstream unit B side downstream unit is obtained.
And (4.3) calculating the heat exchange coefficient corresponding to each concurrent unit. According to the heat balance and the heat exchange formula, the heat exchange coefficient of the ith downstream heat exchange unit in the row is obtained:
wherein: a is the heat exchange area of the concurrent unit; t (T) c Average temperature of the concurrent heat exchange unit; t (T) w,i And the temperature of the outlet of the fan of the concurrent heat exchange unit. The average temperature of the downstream heat exchange unit can be determined by averaging the temperature of the measuring point in a time period, and the temperature of the air outlet is measured at the measuring point.
(5) Calculation of the cleaning factor. Each concurrent heat exchange unit K calculated according to the step (4) i Theoretical heat transfer coefficient K under the same conditions s ，K s Can be found according to the data. And calculating the dirt thermal resistance under different working conditions, further calculating the cleaning factors, and further monitoring the ash and dirt state of the heat exchange finned tube by monitoring the cleaning factors of different heat exchange units.
(5.1) calculating the dirt heat resistance of the ith concurrent heat exchange unit in the series under different working conditions:
and (5.2) calculating the cleaning factors of the corresponding concurrent heat exchange units under different working conditions. Because the dirt heat resistance cannot intuitively reflect the dirt condition of the radiator, the cleaning factor Cf is introduced to represent the pollution degree of the heat exchanger in the embodiment of the invention, and in the embodiment, the relation between the cleaning factor and the dirt heat resistance of the ith downstream heat exchange unit is as follows:
(6) The cleaning factors of different concurrent heat exchange units are monitored so as to monitor the ash and dirt states of the corresponding heat exchange finned tubes. Selecting a time-dependent change curve of the cleaning factor under the working condition according to the unit history data obtained in the step (5); and through real-time monitoring, judging the dust and dirt condition of the heating surface of the finned tube at the moment according to the real-time absolute value of the curve and the rising trend of the historical curve, thereby guiding related personnel to take related measures such as advanced flushing and the like.
Fig. 3 is a schematic flow chart of determining a cleaning factor according to an embodiment of the invention. It comprises the following steps:
collecting measurement point history data from an SIS data source; the collected measuring point history data comprises: the data acquisition interval is 1min in this embodiment, and the data acquisition interval corresponds to, exhaust flow, ambient temperature, wind speed and direction, pressure of each row of steam header, pressure of each row of A/B side condensation header, and temperature of the finned tube.
Preprocessing the collected historical data, and accumulating the historical data within 30 minutes;
selecting working conditions according to the current public data and the historical data;
determining the heat exchange amount of the exhaust side and the heat dissipation amount of the finned tube according to the collected historical data, namely the Q A Heat exchange quantity Q of downstream unit A side downstream unit B The heat exchange amount of the downstream unit B side downstream unit is the heat exchange amount of the downstream unit B side downstream unit;
determining a real-time heat exchange coefficient according to the heat exchange quantity of the exhaust side and the heat exchange quantity of the fin tube;
and determining a real-time cleaning factor according to the determined real-time heat exchange coefficient and a theoretical heat exchange coefficient which is obtained in advance, so as to obtain a cleaning factor curve, and judging the ash and dirt condition of the heating surface of the finned tube at the moment according to the real-time absolute value of the cleaning factor curve and the rising trend of a history curve determined by the selected working condition, so as to guide related personnel to take related measures such as advanced flushing.
And calculating a historical curve of the cleaning factor according to the steps, and judging the dust and dirt condition of the heating surface of the finned tube at the moment according to the real-time absolute value of the curve and the rising trend of the historical curve, so as to guide related personnel to take related measures such as advanced flushing. After this scheme is implemented, the washing of air cooling can be more scientific, can predict the dirty degree of air cooling better, effectively promotes the economic nature of unit backpressure and air cooling fan power consumption rate.
In addition, in the implementation of the invention, firstly, the measuring points for perfecting the related parameters are added, a certain precision is ensured, and then the related parameters required by calculation are acquired, as shown in fig. 4, which is a schematic diagram of the measuring point positions in the embodiment of the invention.
In this embodiment, the attached measurement points are described:
temperature measuring points of working medium at condensation end of each downstream unit:
(1) The adding position can be considered to select the temperature in a tube somewhere in the middle of the column as a representative;
(2) The original temperature measuring element should consider that the original is impacted by steam flow, so that stability and no leakage are ensured;
the inlet air temperature measuring point of the air cooling heat transfer unit is selected according to the experimental specification requirement:
(1) The inlet air temperature measuring points are arranged on a nominal diameter section;
(2) Arranging at least 2 measuring points as much as possible;
in the embodiment of the invention, a platinum resistance thermometer is selected for measuring the temperature, and the precision is not lower than 0.25%;
meanwhile, the invention also provides a dust and dirt condition monitoring device of the air cooling radiating fin, as shown in fig. 5, the device of the invention comprises:
the data acquisition module 501 is configured to acquire historical operation data, historical working condition data, real-time operation data and real-time working condition data of the air cooling fin;
the historical data processing module 502 is configured to determine a historical relationship curve of cleaning factors and time of the air cooling fin under different working conditions according to the historical operation data and the historical working condition data;
a real-time data processing module 503, configured to determine a real-time cleaning factor curve of the air cooling fin according to the real-time operation data;
the dust and dirt condition monitoring module 504 is configured to determine the dust and dirt condition of the current air cooling fin according to the real-time operation data, the real-time cleaning factor curve, and the historical relation curve of the cleaning factor and time under different working conditions.
In the embodiment of the invention, the ash and dirt condition monitoring device of the air cooling radiating fin further comprises: the cleaning factor determining module is used for determining the cleaning factors according to the operation data respectively; the cleaning factors include: historical cleaning factors and real-time cleaning factors;
wherein, as shown in fig. 6, the cleaning factor determining module comprises:
the heat exchange coefficient determining unit 601 is configured to determine a heat exchange coefficient of each concurrent heat exchange unit according to the exhaust flow rate of the concurrent heat exchange unit, the pressure of the condensation jellyfish tube at two sides of the concurrent heat exchange unit, and the temperature of the pressure finned tube of the steam header;
a dirt thermal resistance determining unit 602, configured to determine a dirt thermal resistance of each concurrent heat exchange unit according to a heat exchange coefficient of each concurrent heat exchange unit;
and the cleaning factor determining unit 603 is configured to determine the cleaning factor of each downstream heat exchange unit according to the dirt thermal resistance of each downstream heat exchange unit and the theoretical heat transfer coefficient acquired in advance.
In an embodiment of the present invention, a history data processing module includes:
the dividing unit is used for sorting the working condition data according to time sequence and dividing the history working condition data according to preset cutting intervals;
the working condition curve determining unit is used for determining a history relation curve of the cleaning factors and time under different working conditions according to the divided history working condition data and the determined history cleaning factors.
In addition, the embodiment of the invention also provides an electronic device, which can be a desktop computer, a tablet computer, a mobile terminal and the like, and the embodiment is not limited to the desktop computer, the tablet computer, the mobile terminal and the like. In this embodiment, the electronic device may refer to the foregoing embodiments, and the contents thereof are incorporated herein, and the repetition is omitted.
Fig. 7 is a schematic block diagram of a system configuration of an electronic device 600 according to an embodiment of the present invention. As shown in fig. 7, the electronic device 600 may include a central processor 100 and a memory 140; memory 140 is coupled to central processor 100. Notably, the diagram is exemplary; other types of structures may also be used in addition to or in place of the structures to implement telecommunications functions or other functions.
In one embodiment, the air-cooled fin dust condition monitoring function may be integrated into the CPU 100. Wherein the central processor 100 may be configured to control as follows:
acquiring historical operation data, historical working condition data, real-time operation data and real-time working condition data of the air cooling radiating fins;
determining a historical relation curve of cleaning factors and time of the air cooling radiating fins under different working conditions according to the historical operation data and the historical working condition data;
determining a real-time cleaning factor curve of the air cooling radiating fin according to the real-time operation data;
and determining the dust and dirt condition of the current air cooling radiating fin according to the real-time operation data, the real-time cleaning factor curve and the historical relation curve of the cleaning factors under different working conditions and time.
In another embodiment, the air-cooling fin dust and dirt condition monitoring device may be configured separately from the cpu 100, for example, the air-cooling fin dust and dirt condition monitoring device may be configured as a chip connected to the cpu 100, and the air-cooling fin dust and dirt condition monitoring function may be implemented by the control of the cpu.
As shown in fig. 7, the electronic device 600 may further include: a communication module 110, an input unit 120, an audio processing unit 130, a display 160, a power supply 170. It is noted that the electronic device 600 need not include all of the components shown in fig. 7; in addition, the electronic device 600 may further include components not shown in fig. 7, to which reference is made to the related art.
As shown in fig. 7, the central processor 100, sometimes also referred to as a controller or operational control, may include a microprocessor or other processor device and/or logic device, which central processor 100 receives inputs and controls the operation of the various components of the electronic device 600.
The memory 140 may be, for example, one or more of a buffer, a flash memory, a hard drive, a removable media, a volatile memory, a non-volatile memory, or other suitable device. The information about failure may be stored, and a program for executing the information may be stored. And the central processor 100 can execute the program stored in the memory 140 to realize information storage or processing, etc.
The input unit 120 provides an input to the central processor 100. The input unit 120 is, for example, a key or a touch input device. The power supply 170 is used to provide power to the electronic device 600. The display 160 is used for displaying display objects such as images and characters. The display may be, for example, but not limited to, an LCD display.
The memory 140 may be a solid state memory such as Read Only Memory (ROM), random Access Memory (RAM), SIM card, or the like. But also a memory which holds information even when powered down, can be selectively erased and provided with further data, an example of which is sometimes referred to as EPROM or the like. Memory 140 may also be some other type of device. Memory 140 includes a buffer memory 141 (sometimes referred to as a buffer). The memory 140 may include an application/function storage 142, the application/function storage 142 for storing application programs and function programs or a flow for executing operations of the electronic device 600 by the central processor 100.
The memory 140 may also include a data store 143, the data store 143 for storing data, such as contacts, digital data, pictures, sounds, and/or any other data used by the electronic device. The driver storage 144 of the memory 140 may include various drivers of the electronic device for communication functions and/or for performing other functions of the electronic device (e.g., messaging applications, address book applications, etc.).
The communication module 110 is a transmitter/receiver 110 that transmits and receives signals via an antenna 111. A communication module (transmitter/receiver) 110 is coupled to the central processor 100 to provide an input signal and receive an output signal, which may be the same as in the case of a conventional mobile communication terminal.
Based on different communication technologies, a plurality of communication modules 110, such as a cellular network module, a bluetooth module, and/or a wireless local area network module, etc., may be provided in the same electronic device. The communication module (transmitter/receiver) 110 is also coupled to a speaker 131 and a microphone 132 via an audio processor 130 to provide audio output via the speaker 131 and to receive audio input from the microphone 132 to implement usual telecommunication functions. The audio processor 130 may include any suitable buffers, decoders, amplifiers and so forth. In addition, the audio processor 130 is also coupled to the central processor 100 so that sound can be recorded locally through the microphone 132 and so that sound stored locally can be played through the speaker 131.
The embodiment of the invention also provides a computer-readable program, wherein when the program is executed in an electronic device, the program causes a computer to execute the air-cooling fin dust condition monitoring method as described in the above embodiment in the electronic device.
The embodiment of the invention also provides a storage medium storing a computer readable program, wherein the computer readable program enables a computer to execute the air cooling fin dust condition monitoring described in the above embodiment in an electronic device.
Preferred embodiments of the present invention are described above with reference to the accompanying drawings. The many features and advantages of the embodiments are apparent from the detailed specification, and thus, it is intended by the appended claims to cover all such features and advantages of the embodiments which fall within the true spirit and scope thereof. Further, since numerous modifications and changes will readily occur to those skilled in the art, it is not desired to limit the embodiments of the invention to the exact construction and operation illustrated and described, and accordingly, all suitable modifications and equivalents may be resorted to, falling within the scope thereof.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The principles and embodiments of the present invention have been described in detail with reference to specific examples, which are provided to facilitate understanding of the method and core ideas of the present invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Claims (9)
1. The method for monitoring the dust and dirt condition of the air cooling radiating fin is characterized by comprising the following steps of:
acquiring historical operation data, historical working condition data, real-time operation data and real-time working condition data of the air cooling radiating fins;
determining a historical relation curve of cleaning factors and time of the air cooling radiating fins under different working conditions according to the historical operation data and the historical working condition data;
determining a real-time cleaning factor curve of the air cooling radiating fin according to the real-time operation data;
and determining the dust and dirt condition of the current air cooling radiating fin according to the real-time cleaning factor curve and the historical relation curve of the cleaning factors and time under different working conditions.
2. The method for monitoring the dust and dirt condition of the air-cooled radiating fins according to claim 1, wherein the operation data comprises: the exhaust flow of the concurrent heat exchange unit, the pressure of the condensation jellyfish tube at two sides of the concurrent heat exchange unit and the temperature of the pressure finned tube of the steam header tube;
the working condition data comprise: unit load, ambient temperature, ambient wind speed, ambient wind direction, and fan speed.
3. The method for monitoring the dust and dirt condition of the air cooling radiating fins as set forth in claim 2, wherein said method comprises: determining cleaning factors according to the operation data respectively; the cleaning factors include: historical cleaning factors and real-time cleaning factors; the determining the cleaning factors according to the operation data respectively comprises the following steps:
determining heat exchange coefficients of the downstream heat exchange units according to the exhaust flow of the downstream heat exchange units, the pressure of condensation jellyfish tubes at two sides of the downstream heat exchange units and the temperature of a steam header pressure finned tube;
determining dirt heat resistance of each concurrent heat exchange unit according to the heat exchange coefficient of each concurrent heat exchange unit;
and determining the cleaning factors of the concurrent heat exchange units according to the dirt thermal resistance of the concurrent heat exchange units and the theoretical heat transfer coefficient obtained in advance.
4. The method for monitoring dust and dirt conditions of air cooling fins according to claim 3, wherein the determining a history relation curve of cleaning factors and time of the air cooling fins under different working conditions according to the history operation data and the history working condition data comprises:
sequencing the working condition data according to time sequence and dividing the historical working condition data according to preset segmentation intervals;
and determining a history relation curve of the cleaning factors and time under different working conditions according to the divided history working condition data and the determined history cleaning factors.
5. An air cooling fin dust and dirt situation monitoring device, which is characterized in that the device comprises:
the data acquisition module is used for acquiring historical operation data, historical working condition data, real-time operation data and real-time working condition data of the air cooling radiating fins;
the historical data processing module is used for determining a historical relation curve of cleaning factors and time of the air cooling fins under different working conditions according to the historical operation data and the historical working condition data;
the real-time data processing module is used for determining a real-time cleaning factor curve of the air cooling radiating fin according to the real-time operation data;
and the dust and dirt condition monitoring module is used for determining the dust and dirt condition of the current air cooling radiating fin according to the real-time cleaning factor curve and the historical relation curve of the cleaning factors under different working conditions and time.
6. The air-cooled fin dust condition monitoring device of claim 5, wherein the operational data comprises: the exhaust flow of the concurrent heat exchange unit, the pressure of the condensation jellyfish tube at two sides of the concurrent heat exchange unit and the temperature of the pressure finned tube of the steam header tube;
the working condition data comprise: unit load, ambient temperature, ambient wind speed, ambient wind direction, and fan speed.
7. The air-cooled fin dust condition monitoring device of claim 6, further comprising: the cleaning factor determining module is used for determining the cleaning factors according to the operation data respectively; the cleaning factors include: historical cleaning factors and real-time cleaning factors;
the cleaning factor determining module comprises:
the heat exchange coefficient determining unit is used for determining the heat exchange coefficient of each concurrent heat exchange unit according to the exhaust flow of the concurrent heat exchange unit, the pressure of the condensation jellyfish tube at two sides of the concurrent heat exchange unit and the temperature of the pressure finned tube of the steam header;
the dirt heat resistance determining unit is used for determining dirt heat resistance of each concurrent heat exchange unit according to the heat exchange coefficient of each concurrent heat exchange unit;
and the cleaning factor determining unit is used for determining the cleaning factors of the downstream heat exchange units according to the dirt thermal resistance of the downstream heat exchange units and the theoretical heat transfer coefficient obtained in advance.
8. The air-cooled fin dust condition monitoring device of claim 7, wherein the historical data processing module comprises:
the dividing unit is used for sorting the working condition data according to time sequence and dividing the history working condition data according to preset cutting intervals;
the working condition curve determining unit is used for determining a history relation curve of the cleaning factors and time under different working conditions according to the divided history working condition data and the determined history cleaning factors.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of any of claims 1 to 4 when executing the computer program.
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| CN111957637A (en) * | 2020-07-16 | 2020-11-20 | 中国神华能源股份有限公司国华电力分公司 | Flushing method, flushing device and flushing system |
| CN112905947B (en) * | 2021-02-02 | 2023-09-19 | 浙江浙能技术研究院有限公司 | Real-time monitoring method for dirt degree of fin tube heat exchanger of indirect air cooling tower |
| CN113095545B (en) * | 2021-03-12 | 2022-09-20 | 国网河北能源技术服务有限公司 | Method and device for determining optimal operating frequency of cooling fan of air-cooled condenser and terminal |
| CN113240151B (en) * | 2021-03-29 | 2024-06-14 | 神华神东电力有限责任公司 | Method and device for predicting performance parameters of condenser of direct air cooling unit |
| CN113393143B (en) * | 2021-06-24 | 2022-06-17 | 重庆大学 | Fin machining state monitoring method based on information fusion |
| CN114135854A (en) * | 2021-10-18 | 2022-03-04 | 华中科技大学 | Method and device for monitoring pollution of heating surface of power station boiler |
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